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Strong Tier-1 brand and remote posting, but senior and niche IAM+AI specialization reduces broad applicant density.
Role requires deep IAM security and AI expertise, limiting transferability across unrelated industries.
Explicit 12+ years, IAM security and AI auditing mandates create strict mandatory filters.
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Lead design, development, and implementation of AI/ML models to enhance Identity and Access Management (IAM) processes including access risk scoring, anomaly detection, and access certification.
Collaborate with cybersecurity, IAM architecture, engineering teams, and business stakeholders to build scalable, AI-enabled IAM solutions aligned with enterprise security standards.
Oversee AI model performance monitoring, security auditing of AI systems, documentation, and governance for AI-driven access decisions.
Minimum 12 years of experience in security engineering with AI/ML/Data Science capabilities in complex systems.
At least 4 years experience auditing AI or machine learning systems for security risks and compliance.
Strong domain expertise in Identity and Access Management (IAM) and hands-on experience with AI/ML tools and large-scale data platforms.
Location: Hyderabad or Bengaluru; flexible to provide coverage during US morning hours as needed.
Senior-level security professional with deep expertise in applying AI/ML within IAM to improve identity governance and risk management.
Experienced in collaborating cross-functionally with IAM architects, cybersecurity teams, and data scientists in large enterprise environments.
Technically strong in AI model development, integration with IAM platforms, and security-focused AI system auditing and governance.